fix: _tied_weights_keys as dict + post_init() for transformers 5.3.0

modeling_unicosys.py

@@ -169,7 +169,8 @@ class UnicosysHypergraphModel(PreTrainedModel):
     """
 
     config_class = UnicosysConfig
-    _tied_weights_keys = []
+    _tied_weights_keys = {}
+    supports_gradient_checkpointing = False
 
     def __init__(self, config: UnicosysConfig):
         super().__init__(config)
@@ -205,6 +206,9 @@ class UnicosysHypergraphModel(PreTrainedModel):
         # Initialize weights
         self.apply(self._init_weights)
 
+        # Required by transformers >= 5.x for tied weight tracking
+        self.post_init()
+
     def _init_weights(self, module):
         if isinstance(module, nn.Linear):
             nn.init.xavier_uniform_(module.weight)